



'''simple docstring'''

import os
import unittest

from huggingface_hub.utils import are_progress_bars_disabled

import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar

class 							a__( unittest.TestCase     ):






			def 						_lowercase  (     self						)							->							Dict:
					snake_case__	     =logging.get_logger()

					# the current default level is logging.WARNING
					snake_case__	     =logging.get_verbosity()

					logging.set_verbosity_error()
					self.assertEqual(logger.getEffectiveLevel()					,   logging.get_verbosity()						)

					logging.set_verbosity_warning()
					self.assertEqual(logger.getEffectiveLevel()					,   logging.get_verbosity()						)

					logging.set_verbosity_info()
					self.assertEqual(logger.getEffectiveLevel()					,   logging.get_verbosity()						)

					logging.set_verbosity_debug()
					self.assertEqual(logger.getEffectiveLevel()					,   logging.get_verbosity()						)

					# restore to the original level
					logging.set_verbosity(_UpperCAmelCase						)






			def 						_lowercase  (     self						)							->							int:
					snake_case__	     =logging.get_verbosity()

					snake_case__	     =logging.get_logger('transformers.models.bart.tokenization_bart'						)
					snake_case__	     ='Testing 1, 2, 3'

					# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
					if level_origin <= logging.WARNING:
							with CaptureLogger(_UpperCAmelCase						) as cl:
									logger.warning(_UpperCAmelCase						)
							self.assertEqual(cl.out					,   msg + '\n'						)

					# this is setting the level for all of `transformers.*` loggers
					logging.set_verbosity_error()

					# should not be able to log warnings
					with CaptureLogger(_UpperCAmelCase						) as cl:
							logger.warning(_UpperCAmelCase						)
					self.assertEqual(cl.out					,   ''						)

					# should be able to log warnings again
					logging.set_verbosity_warning()
					with CaptureLogger(_UpperCAmelCase						) as cl:
							logger.warning(_UpperCAmelCase						)
					self.assertEqual(cl.out					,   msg + '\n'						)

					# restore to the original level
					logging.set_verbosity(_UpperCAmelCase						)






			@mockenv(TRANSFORMERS_VERBOSITY='error'						)
			def 						_lowercase  (     self						)							->							Optional[int]:
					# reset for the env var to take effect, next time some logger call is made
					transformers.utils.logging._reset_library_root_logger()
					# this action activates the env var
					snake_case__	     =logging.get_logger('transformers.models.bart.tokenization_bart'						)

					snake_case__	     =os.getenv('TRANSFORMERS_VERBOSITY'					,   _UpperCAmelCase						)
					snake_case__	     =logging.log_levels[env_level_str]

					snake_case__	     =logging.get_verbosity()
					self.assertEqual(
					    _UpperCAmelCase					,   _UpperCAmelCase					,   f"""TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}"""					,   )

					# restore to the original level
					snake_case__	     =''
					transformers.utils.logging._reset_library_root_logger()






			@mockenv(TRANSFORMERS_VERBOSITY='super-error'						)
			def 						_lowercase  (     self						)							->							int:
					# reset for the env var to take effect, next time some logger call is made
					transformers.utils.logging._reset_library_root_logger()
					snake_case__	     =logging.logging.getLogger()
					with CaptureLogger(_UpperCAmelCase						) as cl:
							# this action activates the env var
							logging.get_logger('transformers.models.bart.tokenization_bart'						)
					self.assertIn('Unknown option TRANSFORMERS_VERBOSITY=super-error'					,   cl.out						)

					# no need to restore as nothing was changed






			def 						_lowercase  (     self						)							->							Tuple:
					# testing `logger.warning_advice()`
					transformers.utils.logging._reset_library_root_logger()

					snake_case__	     =logging.get_logger('transformers.models.bart.tokenization_bart'						)
					snake_case__	     ='Testing 1, 2, 3'

					with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS='1'						):
							# nothing should be logged as env var disables this method
							with CaptureLogger(_UpperCAmelCase						) as cl:
									logger.warning_advice(_UpperCAmelCase						)
							self.assertEqual(cl.out					,   ''						)

					with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=''						):
							# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
							with CaptureLogger(_UpperCAmelCase						) as cl:
									logger.warning_advice(_UpperCAmelCase						)
							self.assertEqual(cl.out					,   msg + '\n'						)






def 				a  (     )       ->	Any:
		disable_progress_bar()
		assert are_progress_bars_disabled()

		enable_progress_bar()
		assert not are_progress_bars_disabled()









'''simple docstring'''

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_camembert import CamembertTokenizer
else:
			SCREAMING_SNAKE_CASE__     :						Optional[Any]	=  None


SCREAMING_SNAKE_CASE__     :						Tuple	=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :						List[Any]	=  {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE__     :						Union[str, Any]	=  {
    '''vocab_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/tokenizer.json''',
    },
}

SCREAMING_SNAKE_CASE__     :						List[Any]	=  {
    '''camembert-base''': 5_1_2,
}

SCREAMING_SNAKE_CASE__     :						Any	=  '''▁'''

class 							a__( snake_case__     ):
			a_	: Tuple									=      VOCAB_FILES_NAMES
			a_	: Optional[int]									=      PRETRAINED_VOCAB_FILES_MAP
			a_	: List[str]									=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a_	: str									=      ['''input_ids''', '''attention_mask''']
			a_	: Union[str, Any]									=      CamembertTokenizer






			def __init__(     self					,   _UpperCAmelCase=None					,   _UpperCAmelCase=None					,   _UpperCAmelCase="<s>"					,   _UpperCAmelCase="</s>"					,   _UpperCAmelCase="</s>"					,   _UpperCAmelCase="<s>"					,   _UpperCAmelCase="<unk>"					,   _UpperCAmelCase="<pad>"					,   _UpperCAmelCase="<mask>"					,   _UpperCAmelCase=["<s>NOTUSED", "</s>NOTUSED"]					,   **_UpperCAmelCase					,   )							->							str:
					# Mask token behave like a normal word, i.e. include the space before it
					snake_case__	     =AddedToken(_UpperCAmelCase					,   lstrip=_UpperCAmelCase					,   rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase					,   _UpperCAmelCase						) else mask_token

					super().__init__(
					    _UpperCAmelCase					,   tokenizer_file=_UpperCAmelCase					,   bos_token=_UpperCAmelCase					,   eos_token=_UpperCAmelCase					,   sep_token=_UpperCAmelCase					,   cls_token=_UpperCAmelCase					,   unk_token=_UpperCAmelCase					,   pad_token=_UpperCAmelCase					,   mask_token=_UpperCAmelCase					,   additional_special_tokens=_UpperCAmelCase					,   **_UpperCAmelCase					,   )

					snake_case__	     =vocab_file
					snake_case__	     =False if not self.vocab_file else True






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							List[int]:

					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					snake_case__	     =[self.cls_token_id]
					snake_case__	     =[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							List[int]:
					snake_case__	     =[self.sep_token_id]
					snake_case__	     =[self.cls_token_id]

					if token_ids_a is None:
							return len(cls + token_ids_a + sep						) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]






			def 						_lowercase  (     self					,   _UpperCAmelCase					,   _UpperCAmelCase = None						)							->							Tuple[str]:
					if not self.can_save_slow_tokenizer:
							raise ValueError(
							    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
							    'tokenizer.'						)

					if not os.path.isdir(_UpperCAmelCase						):
							logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""						)
							return
					snake_case__	     =os.path.join(
					    _UpperCAmelCase					,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

					if os.path.abspath(self.vocab_file						) != os.path.abspath(_UpperCAmelCase						):
							copyfile(self.vocab_file					,   _UpperCAmelCase						)

					return (out_vocab_file,)




